Statistics
Basic Information
- Course ID
6a097dd5-2076-4b4f-eeec-2d9b7100def3- Option ID
11bbd913-7afd-475b-ab9b-a72961404842- Provider
- University of Glasgow
- Type
- postgraduate
- Academic Year
- 2026
- Source
- ucas
- Created
- 2/25/2026, 8:43:00 PM
- Updated
- 3/28/2026, 10:29:06 AM
Other Options for this Course
No other options
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"summary": "This Masters in Statistics will provide you with knowledge and experience of the principles, theory and practical skills of statistics.\n\n**WHY THIS PROGRAMME**\n\n\n- The Statistics Group at Glasgow is a large group, internationally renowned for its research excellence.\n\n\n- Our expertise spans topics including biostatistics and statistical genetics, environmental statistics, statistical methodology, statistical modelling and the scholarship of learning and teaching in statistics.\n\n\n- Our Statistics MSc programmes benefit from close links lecturers have with industry and non-governmental organisations such as NHS and SEPA.\n\n\n- The Masters in Statistics is accredited by the Royal Statistical Society.\n\n\n- You will be taught by world-leading experts in their fields and will participate in an extensive and varied seminar programme, are taught by internationally renowned lecturers and experience a wide variety of projects.\n\n\n- You will develop a thorough grasp of statistical methodology, before going on to apply statistical skills to solve real-life problems.\n\n\n- Our students graduate with a varied skill set, including core professional skills, and a portfolio of substantive applied and practical work.\n\n\n- You will be equipped with the skills needed to begin a career as a professional statistician; previous study of statistics is not required.\n\n\n**PROGRAMME STRUCTURE**\n\nModes of delivery of the Masters across the Statistics programmes include lectures, laboratory classes, seminars and tutorials and allow students the opportunity to take part in lab, project and team work.\n\nStudents are required to take 9 compulsory taught courses and select 2 optional courses in semester 2.\n\n**Semester 1\nCore courses**\n\nBiostatistics (Level M)\nProbability (Level M)\nRegression Models (Level M)\nStatistical Inference (Level M)\nIntroduction to statistical programming in R and Python\n\n**Semester 2\nCore courses**\n\nBayesian Statistics (Level M)\nData Analysis Skills (Level M)\nData Mining and Machine Learning\nAdvanced Predictive Models\n\n**Optional courses (choose 2)**\n\nDesign of Experiments (Level M)\nEnvironmental and Ecological Statistics (Level M)\nFunctional Data Analysis (Level M)\nSpatial Statistics (Level M)\nStatistical Genetics (Level M)\nTime Series (Level M)\n\n**Project (summer)**\n\nStatistics Project and Dissertation\n\n**CAREER PROSPECTS**\n\nData is becoming an ever increasing part of the modern world, yet the talent to extract information and value from complex data is scarce. There is a massive shortage of data-analytical skills in the workforce. This programme opens up a multitude of career opportunities and/or boosts your career trajectory.\n\nOur graduates have an excellent track record of gaining employment in many sectors including medical research, the pharmaceutical industry, finance and government statistical services, while others have continued to a PhD. Recent graduates have been employed by Lloyds Banking Group, Equifax, Kohler, Moodys and Globality.\n\nExplore our LinkedIn profile for a flavour of where our most recent graduates work.",
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